Kazuho Watanabe
Kazuho Watanabe
Geverifieerd e-mailadres voor cs.tut.ac.jp
Geciteerd door
Geciteerd door
Deterministic annealing variant of variational Bayes method
K Katahira, K Watanabe, M Okada
Journal of Physics: Conference Series 95 (1), 012015, 2008
Stochastic complexities of Gaussian mixtures in variational Bayesian approximation
K Watanabe, S Watanabe
Journal of Machine Learning Research 7 (Apr), 625-644, 2006
Stochastic complexities of general mixture models in variational Bayesian learning
K Watanabe, S Watanabe
Neural Networks 20 (2), 210-219, 2007
Lower bounds of stochastic complexities in variational Bayes learning of Gaussian mixture models
K Watanabe, S Watanabe
Cybernetics and Intelligent Systems, 2004 IEEE Conference on 1, 99-104 vol. 1, 2004
Variational Bayesian mixture model on a subspace of exponential family distributions
K Watanabe, S Akaho, S Omachi, M Okada
IEEE transactions on neural networks 20 (11), 1783-1796, 2009
Bayesian properties of normalized maximum likelihood and its fast computation
A Barron, T Roos, K Watanabe
2014 IEEE International Symposium on Information Theory, 1667-1671, 2014
Upper bound for variational free energy of Bayesian networks
K Watanabe, M Shiga, S Watanabe
Machine Learning 75 (2), 199-215, 2009
Stochastic complexity of variational Bayesian hidden Markov models
T Hosino, K Watanabe, S Watanabe
Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005
Spectral-based contractible parallel coordinates
K Nohno, HY Wu, K Watanabe, S Takahashi, I Fujishiro
2014 18th International Conference on Information Visualisation, 7-12, 2014
Variational Bayesian stochastic complexity of mixture models
K Watanabe, S Watanabe
Advances in neural information processing systems, 1465-1472, 2006
Achievability of asymptotic minimax regret by horizon-dependent and horizon-independent strategies
K Watanabe, T Roos
The Journal of Machine Learning Research 16 (1), 2357-2375, 2015
Stochastic complexity for mixture of exponential families in variational bayes
K Watanabe, S Watanabe
International Conference on Algorithmic Learning Theory, 107-121, 2005
Biclustering multivariate data for correlated subspace mining
K Watanabe, HY Wu, Y Niibe, S Takahashi, I Fujishiro
2015 IEEE Pacific Visualization Symposium (PacificVis), 287-294, 2015
Upper bounds of Bayesian generalization errors in reduced rank regression
K Watanabe, S Watanabe
IEICE Trans. J 86, 278-287, 2003
Timetubes: Visual exploration of observed blazar datasets
I Fujishiro, N Sawada, M Nakayama, HY Wu, K Watanabe, S Takahashi, ...
Journal of Physics: Conference Series 1036 (1), 012011, 2018
TimeTubes: Visualization of polarization variations in blazars
M Uemura, R Itoh, L Xu, M Nakayama, H Wu, K Watanabe, S Takahashi, ...
Galaxies 4 (3), 23, 2016
Variational Bayesian inference algorithms for infinite relational model of network data
T Konishi, T Kubo, K Watanabe, K Ikeda
IEEE transactions on neural networks and learning systems 26 (9), 2176-2181, 2014
Packet loss rate estimation with active and passive measurements
A Miyamoto, K Watanabe, K Ikeda
Proceedings of The 2012 Asia Pacific Signal and Information Processing …, 2012
Divergence measures and a general framework for local variational approximation
K Watanabe, M Okada, K Ikeda
Neural networks 24 (10), 1102-1109, 2011
Free energy of stochastic context free grammar on variational Bayes
T Hosino, K Watanabe, S Watanabe
International Conference on Neural Information Processing, 407-416, 2006
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